Mastering Computer Vision with TensorFlow 2.x

Application packaging

Application packaging involves uploading code, the TFRecord file, and the model .confg file to GCP, which the model can access during training. In the Training an object detector in GCP section, we executed training in GCP by using gcloud to package our application, as follows:

$ gcloud ml-engine jobs submit training `whoami`_object_detection_`date +%s` --job-dir=gs://${YOUR_GCS_BUCKET}/train --packages dist/object_detection-0.1.tar.gz,slim/dist/slim-0.1.tar.gz,/tmp/pycocotools/pycocotools-2.0.tar.gz --module-name object_detection.model_tpu_main --runtime-version 1.15 --scale-tier BASIC_TPU --region us-central1 -- --model_dir=gs://${YOUR_GCS_BUCKET}/train --tpu_zone us-central1 --pipeline_config_path=gs://${YOUR_GCS_BUCKET}/data/pipeline.config ...